Deep Learning Engineer (Radar Computer Vision)
Core
Architect and implement object detection frameworks for non-natural radar imagery to spot birds, drones, and airborne threats in real time.
Role type
Senior IC deep learning engineer (radar computer vision)
Builds
Robust detection, segmentation, and tracking models for 3D, 4D, and 5D radar data
Domain
Defense/Aviation safety + Radar signal processing
Deliverable
production ML models
Required skills
Object detection, segmentation, and classification models; Radar data or non-natural signal modalities (LiDAR, sonar, medical imaging); Edge computing deployment; Python; PyTorch
Preferred skills
TensorRT; High-performance inference libraries
Responsibilities
Design and build neural network architectures for complex radar data; Develop strategies to handle imperfect or sparse radar labels; Optimize models for real-time, low-latency inference on edge hardware; Integrate models into live radar systems with software and radar engineers
Seniority
Senior, hands-on IC
